The graph represents a network of 439 Twitter users whose tweets in the requested range contained "traveltech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 15 December 2022 at 02:35 UTC.
The requested start date was Thursday, 15 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 19-hour, 23-minute period from Thursday, 01 December 2022 at 02:21 UTC to Wednesday, 14 December 2022 at 21:44 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 439
Unique Edges : 237
Edges With Duplicates : 6886
Total Edges : 7123
Number of Edge Types : 5
MentionsInRetweet : 1264
Mentions : 2287
Retweet : 2931
Tweet : 632
Replies to : 9
Self-Loops : 2411
Reciprocated Vertex Pair Ratio : 0.0248756218905473
Reciprocated Edge Ratio : 0.0485436893203883
Connected Components : 122
Single-Vertex Connected Components : 73
Maximum Vertices in a Connected Component : 132
Maximum Edges in a Connected Component : 6578
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.275612
Graph Density : 0.00214268626288472
Modularity : 0.062919
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 439 Twitter users whose tweets in the requested range contained "traveltech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 15 December 2022 at 02:35 UTC.
The requested start date was Thursday, 15 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 19-hour, 23-minute period from Thursday, 01 December 2022 at 02:21 UTC to Wednesday, 14 December 2022 at 21:44 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : traveltech
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[4723] #datascientist,#csuite [4718] #csuite,#digitalhealth [4717] #healthtech,#smartcity [4714] #smartcity,#datascientist [4708] #digitalhealth,#web3 [4701] #web3,#cx [4690] #cx,#ehealth [4675] #ehealth,#finserv [2786] chidambara09,#healthtech [2720] #finserv,#cloud Top Word Pairs in Tweet in G1:
[4721] #datascientist,#csuite [4716] #csuite,#digitalhealth [4715] #healthtech,#smartcity [4712] #smartcity,#datascientist [4706] #digitalhealth,#web3 [4700] #web3,#cx [4689] #cx,#ehealth [4674] #ehealth,#finserv [2786] chidambara09,#healthtech [2720] #finserv,#cloud Top Word Pairs in Tweet in G2:
[10] ù,ø [8] #digitalage,transport [8] learn,more [8] take,business [8] experience,increased [8] passenger,experience [8] superior,passenger [8] transport,solutions [8] solutions,take [8] increased,safety Top Word Pairs in Tweet in G3:
[4] ceo,markus [4] meet,ceo [4] #cruisenews,#partnership [4] maryrega,#cruisenews [4] #partnership,#traveltech [4] markus,maryrega [4] hope,meet [4] wonderful,hope [3] #traveltech,cliaukâ [3] cruisewatchcom,wonderful Top Word Pairs in Tweet in G4:
[3] certification,collects [3] first,french [3] evaneos,first [3] french,travel [3] obtain,corp [3] corp,certification [3] tech,obtain [3] 20m,funding [3] collects,20m [3] travel,tech Top Word Pairs in Tweet in G5:
[8] mejor,startup [5] diferentes,sectores [5] ganadores,#vlcstartupawards [5] premian,innovación [5] sectores,energy [5] startup,traveltech [5] tenemos,proyectos [5] proyectos,ganadores [5] innovación,diferentes [5] #vlcstartupawards,premian Top Word Pairs in Tweet in G6:
[4] perks,airport [4] mastercard,payment [4] upgrade,benefits [4] membership,perks [4] airport,lounge [4] payment,card [4] ready,upgrade [4] card,membership [4] lounge,access [4] benefits,mastercard Top Word Pairs in Tweet in G7:
[4] #traveltech,#travel [3] #metaverse,change [3] experience,#2023 [3] ✈ï,ºðÿ [3] #travel,experience [3] without,refuelingðÿ [3] #tourism,#vr [3] refuelingðÿ,✈ï [3] #2023,#traveltech [3] san,francisco Top Word Pairs in Tweet in G8:
[10] revenues,transform [10] engagement,travel [10] ancillary,revenues [10] assets,unlock [10] segmentsðÿ,nfts [10] transform,customer [10] travel,segmentsðÿ [10] customer,engagement [10] digital,assets [10] unlock,ancillary Top Word Pairs in Tweet in G9:
[6] integrity,belief [6] grit,integrity [6] hard,work [6] pays,grit [6] work,always [6] vision,passion [6] always,pays [6] belief,vision [5] passion,mos [5] theanswer_web3,hard Top Word Pairs in Tweet in G10:
[8] assistance,producthunt [8] vessel,operator [8] operator,app [8] odi,assistance [8] launched,vessel [8] app,odi [8] appreciate,support [8] producthunt,appreciate [7] odiapp_mv,launched Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: